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Int. J. Environ. Res. Public Health 2013, 10(8), 3619-3633; doi:10.3390/ijerph10083619
Article

Performance Evaluation of Public Non-Profit Hospitals Using a BP Artificial Neural Network: The Case of Hubei Province in China

1
 and 1,2,*
Received: 5 June 2013; in revised form: 1 August 2013 / Accepted: 5 August 2013 / Published: 15 August 2013
(This article belongs to the Special Issue Public Health Informatics)
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Abstract: To provide a reference for evaluating public non-profit hospitals in the new environment of medical reform, we established a performance evaluation system for public non-profit hospitals. The new “input-output” performance model for public non-profit hospitals is based on four primary indexes (input, process, output and effect) that include 11 sub-indexes and 41 items. The indicator weights were determined using the analytic hierarchy process (AHP) and entropy weight method. The BP neural network was applied to evaluate the performance of 14 level-3 public non-profit hospitals located in Hubei Province. The most stable BP neural network was produced by comparing different numbers of neurons in the hidden layer and using the “Leave-one-out” Cross Validation method. The performance evaluation system we established for public non-profit hospitals could reflect the basic goal of the new medical health system reform in China. Compared with PLSR, the result indicated that the BP neural network could be used effectively for evaluating the performance public non-profit hospitals.
Keywords: public non-profit hospitals; health care reform; indicator system; performance evaluation; BP neural network; cross validation public non-profit hospitals; health care reform; indicator system; performance evaluation; BP neural network; cross validation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Li, C.; Yu, C. Performance Evaluation of Public Non-Profit Hospitals Using a BP Artificial Neural Network: The Case of Hubei Province in China. Int. J. Environ. Res. Public Health 2013, 10, 3619-3633.

AMA Style

Li C, Yu C. Performance Evaluation of Public Non-Profit Hospitals Using a BP Artificial Neural Network: The Case of Hubei Province in China. International Journal of Environmental Research and Public Health. 2013; 10(8):3619-3633.

Chicago/Turabian Style

Li, Chunhui; Yu, Chuanhua. 2013. "Performance Evaluation of Public Non-Profit Hospitals Using a BP Artificial Neural Network: The Case of Hubei Province in China." Int. J. Environ. Res. Public Health 10, no. 8: 3619-3633.


Int. J. Environ. Res. Public Health EISSN 1660-4601 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert